Matthew Daniell

About

Matthew Daniell is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Physiology. According to data from OpenAlex, Matthew Daniell has authored 5 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Atomic and Molecular Physics, and Optics, 3 papers in Artificial Intelligence and 1 paper in Physiology. Recurrent topics in Matthew Daniell’s work include Quantum Mechanics and Applications (5 papers), Quantum Information and Cryptography (3 papers) and Quantum Computing Algorithms and Architecture (2 papers). Matthew Daniell is often cited by papers focused on Quantum Mechanics and Applications (5 papers), Quantum Information and Cryptography (3 papers) and Quantum Computing Algorithms and Architecture (2 papers). Matthew Daniell collaborates with scholars based in Austria, United Kingdom and Germany. Matthew Daniell's co-authors include Jian-Wei Pan, Harald Weinfurter, Dik Bouwmeester, Anton Zeilinger, Anton Zeilinger, Gregor Weihs, Sara Gasparoni, Dirk Bouwmeester, A. Zeilinger and Marek Żukowski and has published in prestigious journals such as Nature, Physical Review Letters and Springer eBooks.

In The Last Decade

Co-authorship network of co-authors of Matthew Daniell i

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Fields of papers citing papers by Matthew Daniell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew Daniell. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Matthew Daniell. The network helps show where Matthew Daniell may publish in the future.

Countries citing papers authored by Matthew Daniell

Since Specialization

Citations

This map shows the geographic impact of Matthew Daniell's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Matthew Daniell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Daniell more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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